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Meizhu Liu
Person information
- affiliation: University of Florida, Gainesville, USA
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Journal Articles
- 2016
- [j5]Jiangyuan Mei, Meizhu Liu, Yuan-Fang Wang, Huijun Gao:
Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification. IEEE Trans. Cybern. 46(6): 1363-1374 (2016) - 2014
- [j4]Jiangyuan Mei, Meizhu Liu, Hamid Reza Karimi, Huijun Gao:
LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications. IEEE Trans. Image Process. 23(11): 4920-4931 (2014) - 2013
- [j3]Meizhu Liu, Baba C. Vemuri, Rachid Deriche:
A robust variational approach for simultaneous smoothing and estimation of DTI. NeuroImage 67: 33-41 (2013) - 2012
- [j2]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen:
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2407-2419 (2012) - 2011
- [j1]Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen:
Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging 30(2): 475-483 (2011)
Conference and Workshop Papers
- 2019
- [c19]Hassan Halawa, Konstantin Beznosov, Baris Coskun, Meizhu Liu, Matei Ripeanu:
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. Financial Cryptography 2019: 569-587 - 2017
- [c18]Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu:
An Early Warning System for Suspicious Accounts. AISec@CCS 2017: 51-52 - [c17]Shuchu Han, Yifan Hu, Steven Skiena, Baris Coskun, Meizhu Liu, Hong Qin, Jaime Perez:
Generating Look-alike Names For Security Challenges. AISec@CCS 2017: 57-67 - [c16]Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena:
Nationality Classification Using Name Embeddings. CIKM 2017: 1897-1906 - 2013
- [c15]Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou:
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. MCV 2013: 105-115 - [c14]Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano:
Information-Theoretic Dissimilarities for Graphs. SIMBAD 2013: 90-105 - 2012
- [c13]Meizhu Liu, Baba C. Vemuri:
A Robust and Efficient Doubly Regularized Metric Learning Approach. ECCV (4) 2012: 646-659 - [c12]Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri:
Jensen divergence based SPD matrix means and applications. ICPR 2012: 2841-2844 - [c11]Meizhu Liu, Baba C. Vemuri, Rachid Deriche:
Unsupervised automatic white matter fiber clustering using a Gaussian mixture model. ISBI 2012: 522-525 - 2011
- [c10]Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang:
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM 2011: 2509-2512 - [c9]Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf:
AdaBoost on low-rank PSD matrices for metric learning. CVPR 2011: 2617-2624 - [c8]Meizhu Liu, Baba C. Vemuri:
Robust and efficient regularized boosting using total Bregman divergence. CVPR 2011: 2897-2902 - [c7]Francisco Escolano, Meizhu Liu, Edwin R. Hancock:
Tensor-based total bregman divergences between graphs. ICCV Workshops 2011: 1440-1447 - [c6]Xiaojing Ye, Kefei Liu, Meizhu Liu:
Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL 2011: 105:1-105:5 - [c5]Meizhu Liu, Kefei Liu, Xiaojing Ye:
Find the intrinsic space for multiclass classification. ISABEL 2011: 106:1-106:5 - [c4]Meizhu Liu, Baba C. Vemuri:
RBoost: Riemannian distance based regularized Boosting. ISBI 2011: 1831-1834 - [c3]Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff:
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. MICCAI (3) 2011: 41-48 - [c2]Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff:
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) 2011: 75-82 - 2010
- [c1]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen:
Total Bregman divergence and its applications to shape retrieval. CVPR 2010: 3463-3468
Informal and Other Publications
- 2020
- [i5]Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling:
Political Posters Identification with Appearance-Text Fusion. CoRR abs/2012.10728 (2020) - 2018
- [i4]Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu:
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers. CoRR abs/1801.08629 (2018) - 2017
- [i3]Junting Ye, Shuchu Han, Yifan Hu, Baris Coskun, Meizhu Liu, Hong Qin, Steven Skiena:
Nationality Classification Using Name Embeddings. CoRR abs/1708.07903 (2017) - 2014
- [i2]Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu:
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. CoRR abs/1405.4308 (2014) - 2013
- [i1]Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou:
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. CoRR abs/1307.2965 (2013)
Coauthor Index
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